Dementia

Targeting the mitochondrial functional network: Decoding upstream pathological mechanisms and novel therapeutic paradigms for Alzheimer's disease.

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder worldwide. Conventional downstream interventions targeting β-amyloid (Aβ) and tau proteins have repeatedly failed in clinical practice, and mitochondrial functional decline has been identified as the core upstream driver of AD pathogenesis. Focusing on the mitochondrial functional network as the core target, this paper syste...

Breaking the Autophagy-Oxidative Stress Vicious Cycle in Alzheimer's Disease: Lactiflorin Unlocks P62 Dual Phosphorylation via ULK1 Targeting.

ETHNOPHARMACOLOGICAL RELEVANCE: The dried root of Paeonia lactiflora Pall. has a long history of medicinal use in traditional Chinese medicine. Classical materia medica and traditional practice describe Paeonia-related medicinal materials for headache, dizziness, restlessness, and other neurological or behavioral manifestations, particularly in disorders traditionally associated with blood or yin ...

From Volumetrics to 3D Tensors: A Multi-Cohort Evaluation of Machine Learning and Deep Learning for Alzheimer's Classification.

Automated Alzheimer's disease (AD) classification from structural MRI typically employs either feature-engineered machine learning (ML) or end-to-end ...

Toward harmonized reporting of Alzheimer's disease biomarkers in clinical practice.

Cerebrospinal fluid biomarkers, and more recently blood-based biomarkers, are playing a pivotal role in reshaping the clinical management of neurodege...

Machine learning classification of mild Alzheimer's disease using EEG during emotional processing.

BackgroundMild Alzheimer's disease (AD) is associated with alterations in brain activity, which can be detected using electroencephalography (EEG). In...

Bridging language markers and pathology: correlations between digital speech measures and surrogate CSF biomarkers in Alzheimer's disease.

INTRODUCTION: Digital language markers show promise in detecting early cognitive impairment related to Alzheimer's disease (AD), yet their relationshi...

Clinically altered brain activity may not look like aged brain activity: Implications for brain-age modeling and biomarker strategies.

INTRODUCTION: Brain-age gap (BAG), the difference between predicted age and chronological age, is studied as a biomarker for the natural progression o...

Bridging Machine Learning and Event-Based Analyses to Assess Maternal Contingent Responses to Infant Nondistress and Distress Vocalizations From Home Audio Recordings.

Caregiver-infant vocal interactions are foundational for early development, yet most evidence is derived from brief laboratory or home-visit observati...

Toward Precision Neuropsychiatry of Dementia: Neuropsychiatric Symptoms as Multidimensional Clinical Phenotypes.

Neuropsychiatric symptoms (NPS) are the most clinically consequential manifestations of dementia, yet they are frequently underestimated as secondary ...

Cross-tissue immune profiling of APOE ε4 reveals early dysregulation in Alzheimer's disease.

INTRODUCTION: Apolipoprotein E (APOE) ε4 is the strongest genetic risk factor for late-onset Alzheimer's disease (AD), but its contribution to disease...

A strategic pathway for the ethical development of AI tools in dementia care.

Artificial intelligence (AI) is rapidly entering dementia clinical practice, offering opportunities across the care continuum. However, cognitive decl...

Elevated endogenous glucagon-like peptide-1 as a novel Alzheimer's disease biomarker associated with neuroinflammation and Aβ pathology.

BACKGROUND: Alzheimer's disease (AD), a neurodegenerative disorder, is pathologically defined by the accumulation of amyloid-β (Aβ) plaques, hyperphos...

Using large language models to investigate patients' and caregivers' perceptions on SUDEP: A case study with an online epilepsy population.

BACKGROUND: Sudden Unexpected Death in Epilepsy (SUDEP) is a leading cause of epilepsy-related mortality, yet remains under-communicated in clinical p...

Ultrafast (0.5-Minute) Deep Learning Based Choroid Plexus Segmentation: Links to Cognitive Impairment and Glymphatic Function.

BACKGROUND AND PURPOSE: Choroid plexus volume (CPV) may reflect cognitive impairment and glymphatic dysfunction. However, its clinical use is limited ...

Generative Brain Priors-Driven Self-Regulated and Clinically-Guided Multimodal Fusion for Early Alzheimer's Disease Diagnosis.

Alzheimer's disease (AD) and mild cognitive impairment (MCI) require accurate early diagnosis to support timely clinical intervention and disease mana...

Multitargeted drug strategies for Alzheimer's and Parkinson's diseases.

Neurodegenerative diseases, including Alzheimer's disease (AD) and Parkinson's disease (PD), are multifactorial diseases that are characterized by sev...

Machine Learning-Driven Bioprospecting of Cholinergic Medicinal Plants for Putative Leads Against Butyrylcholinesterase Towards Alzheimer's Care.

Butyrylcholinesterase (BChE) plays a key role in preserving appropriate cholinergic neurotransmission that is essentially altered in the brains of adv...

The impact of frailty and its changes on the development of motoric cognitive risk syndrome in middle-aged and older adults.

BACKGROUND: Previous research links frailty to cognitive decline, but the relationship between frailty and motoric cognitive risk syndrome (MCR), a de...

Early Retinal UCHL1 Dysregulation Coupled With Synaptic Loss Reflects Alzheimer's Disease Severity.

Synaptic dysfunction is a major driver of cognitive decline in Alzheimer's disease (AD), yet its extent and molecular basis in the retina remain poorl...

Infection with Western equine encephalitis virus causes severe regional glial reactivity and neurodegeneration in the hippocampus with progressive accumulation of amyloid-β.

Encephalitic alphaviruses such as Western equine encephalitis virus (WEEV) result in significant morbidity through acute viremia and postencephalitic ...